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One kind of cake requires 200 g of flour...

One kind of cake requires 200 g of flour and 25 g of fat and another kind of cake requires 100g of flour and 50 g of fat. Find the maximum number of cakes which can be in make from 5 kg of flour and 1 kg of fat, assuming that there is no shortage of other in gradients used in making the cakes. Formulate the above as a linear programming problem and solve it graphically.

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To solve the problem of maximizing the number of cakes that can be made from given quantities of flour and fat, we will formulate it as a linear programming problem and solve it graphically. ### Step 1: Define the Variables Let: - \( x \) = number of cakes of the first kind - \( y \) = number of cakes of the second kind ### Step 2: Formulate the Constraints From the problem, we know: - The first kind of cake requires 200 g of flour and 25 g of fat. - The second kind of cake requires 100 g of flour and 50 g of fat. Given: - Total flour available = 5 kg = 5000 g - Total fat available = 1 kg = 1000 g The constraints based on the ingredients are: 1. For flour: \[ 200x + 100y \leq 5000 \] Dividing the entire equation by 100 gives: \[ 2x + y \leq 50 \quad \text{(Constraint 1)} \] 2. For fat: \[ 25x + 50y \leq 1000 \] Dividing the entire equation by 25 gives: \[ x + 2y \leq 40 \quad \text{(Constraint 2)} \] ### Step 3: Non-negativity Constraints Since the number of cakes cannot be negative, we have: \[ x \geq 0 \quad \text{and} \quad y \geq 0 \quad \text{(Constraint 3)} \] ### Step 4: Objective Function We want to maximize the total number of cakes: \[ Z = x + y \] ### Step 5: Graph the Constraints 1. **Graph Constraint 1**: \( 2x + y = 50 \) - When \( x = 0 \), \( y = 50 \) (point A: (0, 50)) - When \( y = 0 \), \( x = 25 \) (point B: (25, 0)) 2. **Graph Constraint 2**: \( x + 2y = 40 \) - When \( x = 0 \), \( y = 20 \) (point C: (0, 20)) - When \( y = 0 \), \( x = 40 \) (point D: (40, 0)) ### Step 6: Identify the Feasible Region The feasible region is the area where all constraints overlap, which is bounded by the lines from the constraints and the axes. ### Step 7: Find the Corner Points The corner points of the feasible region can be found by solving the equations of the lines: 1. Intersection of \( 2x + y = 50 \) and \( x + 2y = 40 \): - From \( 2x + y = 50 \), we can express \( y = 50 - 2x \). - Substitute into the second equation: \[ x + 2(50 - 2x) = 40 \implies x + 100 - 4x = 40 \implies -3x = -60 \implies x = 20 \] Substitute \( x = 20 \) back to find \( y \): \[ y = 50 - 2(20) = 10 \quad \text{(Point E: (20, 10))} \] 2. Other corner points are: - Point A: (0, 20) - Point B: (25, 0) - Point D: (0, 0) ### Step 8: Evaluate the Objective Function at Each Corner Point 1. At (0, 20): \( Z = 0 + 20 = 20 \) 2. At (20, 10): \( Z = 20 + 10 = 30 \) 3. At (25, 0): \( Z = 25 + 0 = 25 \) 4. At (0, 0): \( Z = 0 + 0 = 0 \) ### Step 9: Determine the Maximum Value The maximum value of \( Z \) occurs at the point (20, 10) where \( Z = 30 \). ### Conclusion The maximum number of cakes that can be made is: - 20 cakes of the first kind - 10 cakes of the second kind
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